SAES-422 Multistate Research Activity Accomplishments Report

Sections

Status: Approved

Basic Information

Participants

1) Nora M. Bello, USDA Agricultural Research Service, nora.bello@usda.gov 2) Jennifer Clarke, University of Nebraska-Lincoln, jclarke3@unl.edu 3) Nicholas Keuler, University of Wisconsin-Madison, nskeuler@wisc.edu 4) Raul E. Macchiavelli, University of Puerto Rico, raul.macchiavelli@upr.edu 5) Xin Dai, Utah State University, xin.dai@usu.edu 6) Larry Madden, The Ohio State University (retired), madden1@osu.edu 7) Quentin Read, USDA Agricultural Research Service, quentin.read@usda.gov 8) Conor Fair, University of Georgia, cfair13@uga.edu 9) Guilherme J. M. Rosa, University of Wisconsin-Madison, grosa@wisc.edu 10) Robert J. Tempelman, Michigan State University, tempelma@msu.edu 11) Philip M. Dixon, Iowa State University, pdixon@iastate.edu 12) Bruce A. Craig, Purdue University, bacraig@purdue.edu 13) Kathleen M. Yeater, USDA Agricultural Research Service, kathleen.yeater@usda.gov 14) Carla L. Goad, Oklahoma State University, carla.goad@okstate.edu 15) Clark Kogan, Washington State University, clark.kogan@wsu.edu 16) Gayla R. Olbricht, Missouri University of Science and Technology, olbrichtg@mst.edu 17) Daniel Runcie, University of California Davis, deruncie@ucdavis.edu 18) Alexander E. Lipka, University of Illinois – Urbana Champaign, alipka@illinois.edu 19) Samuel B Fernandes, University of Arkansas, samuelbf@uark.edu 20) Réka Howard, University of Nebraska - Lincoln, rekahoward@unl.edu 21) Susan Durham, Utah State University (retired), sldurham61@gmail.com 22) Jarad Niemi, Iowa State University, niemi@iastate.edu

NCCC170-2024-Meeting-Minutes---071624.pdf

Accomplishments

Accomplishments:

 1) Outputs: Workshops, short courses

A total of 17 workshops and short courses were delivered by members of NCCC170 during this period. Audiences ranged from academic trainees (i.e. graduate students and post-docs) to professional peers. Delivery venues spanned domestic and international settings, ranging from Maryland, Pennsylvania, New York, Georgia, Louisiana, Illinois and Washington in the US, to Brazil, Argentina, Cambodia, Canada, Italy, Japan and South Korea abroad. The complete list of workshops and short courses is provided below for illustration purposes. Member co/instructors are highlighted in bold.

 

  1. Invited Mixed Models Workshop, sponsored by American Dairy Science Association at its Annual Meeting, Ottawa, Canada. Instructors: Nora M. Bello, Bruce A. Craig, and Robert J. Tempelman.  Approximately 70 participants.  June 28-29, 2023. 
  2. Workshop on Phenotyping, hosted by Universidad Federal de Minas Gerais (UFMG), Brazil, in partnership with U.S. Department of State Professional Exchange Program. Instructors: Jennifer Clark and Filipe Matias Brul, Syngenta LATAM. August 28-30, 2023.
  3. Short Course on Mixed Models in Quantitative Genetics. 28th Summer Institute in Statistical Genetics, University of Washington, Seattle - WA. Instructor: Guilherme Rosa. July 19-21, 2023.
  4. Hybrid 3-credit semester course on Systematic Reviews involving students from Purdue University, University of Wisconsin-Madison, The Ohio State University, and Iowa State University. Virtual platform. Co-Instructor: Bruce Craig. January through May 2024.
  5. Invited lecture at Workshop on Introduction to Computational Genomics: “Polymorphisms and Association Tests”. Institute for Genomic Biology, Urbana, IL. Instructor: Alex Lipka. June 24, 2024.
  6. Invited Course on Design of Experiments. University of Tokyo, Japan (Virtual platform). Instructor: Réka Howard. Series of 13 lectures between September 2023 and May, 2024.
  7. Invited workshop: “My first GLMMs in R for SAS Users.” New Orleans, LA. Instructor: Quentin Read. Target audience: USDA Agricultural Research Service staff scientists and postdocs. March 6, 2024.
  8. Invited Workshop on Non-linear Mixed Models. Annual Conference of the Argentinean Region of the International Biometric Society. Salta, Argentina. Instructor: Raul Macchiavelli. Approximately 60 participants. October 10-11, 2023.
  9. Workshop: How to Specify a Statistical Model? Developed and presented to US Department of Agriculture Agricultural Research Service scientists and associates. Instructor: Nora M. Bello. Ithaca, NY. March 26-27, 2024. Approximately 15 participants.
  10. Workshop: How to Specify a Statistical Model? Developed and presented to US Department of Agriculture Agricultural Research Service scientists and associates. Instructor: Nora M. Bello. Beltsville, MD. April 22-23, 2024. Approximately 30 participants.
  11. Workshop: How to Specify a Statistical Model? Developed and presented to US Department of Agriculture Agricultural Research Service scientists and associates. Instructors: Nora M. Bello and Bryan Vinyard. Wyndmoor, PA. June 25-26, 2024. Approximately 25 participants.
  12. Invited Short Course: Mixed Models at the Frontier - Scope, limitations and challenges. National University of the NorthEast (UNNE) - Corrientes, Argentina. Instructor: Nora M. Bello. Approximately 20 faculty and graduate students from Colleges of Agriculture and Veterinary Medicin. July 17-21, 2023.
  13. Invited Short Course: Mixed Models at the Frontier - Scope, limitations and challenges. National University of Buenos Aires (UBA), Buenos Aires, Argentina. Instructor: Nora M. Bello. Approximately 25 faculty and graduate students from Colleges of Agriculture, Veterinary Medicine and Ecology, Genetics and Evolutionary Sciences. July 10-14, 2023.
  14. Invited Short Course on Modern Statistics for the Agricultural Sciences. Royal University of Agriculture, Phnom Penh, Cambodia. Instructor: Nora M. Bello. Approximately 30 faculty, researchers and graduate students from the Center of Excellence for Sustainable Agricultural Intensification and Nutrition (CE SAIN), Royal University of Agriculture (RUA), Institute of Technology Cambodia (ITC) and Pasteur Institute Cambodia (IPC). May 29 to June 6, 2023.
  15. Short Course on Mixed Models in Quantitative Genetics. Bruce Weir Summer Institute in Statistical Genetics (SISG), Georgia Tech, Atlanta, GA. Instructor: Guilherme Rosa. June 5-7, 2024.
  16. Short Course on Linear Models in Quantitative Genetics and Genomics, Chungnam National University (CNU), Daejeon, South Korea. Instructor: Guilherme Rosa. February 5-7, 2024.
  17. Short Course on Big Data and Digital Tools Applied to Livestock Production. University of Padova, Padova - Italy. Instructor: Guilherme Rosa. Sept 25 - 29, 2023.

 

2) Presentations

A total of 44 presentations, 31 of them by invitation, were delivered by members of NCCC170 during this period to a varied professional audience consisting both of statisticians and domain scientists. Delivery venues were both domestic and international. A selected subset is listed below for illustrative purposes.

 

  1. (Jennifer Clarke) Invited Presentation, Opportunities and Challenges in High-Throughput Digital Plant Phenotyping for Sustainable Crop Production, EMBRAPA Digital Agriculture, Campinas, Brasil. U.S. Department of State Professional Exchange Program. August 31, 2023.
  2. (Nora Bello) Invited Seminar: “Systems Modeling: A Step-by-Step Example in Livestock Production”. Invited seminar for the Department of Biomedical Informatics Seminar Series at The Ohio State University. Columbus, Ohio. Virtual platform. September 8, 2023.
  3. (Raul Macchiavelli) Keynote Lecture: Applications of Generalized Additive Mixed Models for Long-term Monitoring of Water Quality in Streams in Puerto Rico. Annual Conference of the Argentinean Region of the International Biometric Society. Salta (Argentina), October 11, 2023.
  4. (Laurence Madden) Invited webinar: “Models and methods for network meta-analysis”. International Webinar on Meta-Analysis. Sponsored by Natural Resources Institute Finland (LUKE). December 2023.
  5. (Guilherme Rosa) Invited Talk: “The Use of AI and Statistics in Optimising the Use of Livestock Big Data”. Conference on Artificial Intelligence and Data Analytics for Improved Veterinary Care. University of Surrey, Guildford, UK. December 11, 2023. (online)
  6. (Robert Tempelman) Invited Talk: “Integrating quantitative data analyses: Application to the dairy sciences”. American Dairy Science Association Meetings, West Palm Beach, FL June 17, 2024.
  7. (Edzard van Santen) Invited presentation: “To combine experiments or not - that is the question.” 2023 ASA, CSSA, SSA International Annual Meeting. Oct 29 - Nov 1, 2023. St Louis, Mo.
  8. (Daniel Runcie) Modeling Gene-Environment Interactions across Large-Scale Field Trials. Plant and Animal Genome Conference. January 13, 2024
  9. (Alex Lipka) Invited speaker. University of Bonn, Bonn, Germany. “Lipka Lab: addressing key challenges of crop sciences through quantitative genetics”, Lipka AE. March 11, 2024.
  10. (Réka Howard) “Integrating Genomic, Weather, and Secondary Trait Data for Multiclass Classification” Invited speaker. ASA, CSSA, SSSA International Annual Meeting. October 30, 2023

 

3) Books and Book Chapters

None listed this year.

 

4) Other Project Related Activities: awards, grants 

Members of NCCC170 served as principal investigators, co-principal investigators or collaborators for 20 grant awards active during the funding period totaling over $ 18 million. Funding sources included federal agencies such as the US Department of Agriculture (USDA), the National Science Foundation (NSF) and the US Agency for International Development (USAID), as well as private organizations and intramural academics. Most grant awards were interdisciplinary in nature, and in several cases, involved multiple academic institutions. A selected subset of grant awards is listed below for illustrative purposes. Member co/authors are highlighted in bold.

 

Grants:

  1. USDA AFRI Schnable, P. (with Clarke) NIFA AG2PI Collaborative: Continuing to Seed the Future of Agriculture Genome to Phenome Research, $1,920,000, 09/01/22 – 08/31/24. Role: co-Principal Investigator and Lead Site PI
  2. Nora Bello, role: invited collaborator. National Science Foundation - ADVANCE Partnership Program NSF 20-554: “STEM Intersectional Equity in Departments (SIEDS): A Partnership for Inclusive Work Cultures Michigan State University with The Ohio State University and Wayne State University”. $ 1,250,000. Timeline: 2023-2024. Status: Awarded.
  3. Raul Macchiavelli, role: Collaborator. Puerto Rico Environmental Quality Board (PREQB). “Development of an integrated platform for monitoring and forecasting Harmful Algal Blooms at San José Lagoon and documenting the history of PFAS pollution in selected watersheds of Puerto Rico” Timeline: 2023-2026. $2,450,000.
  4. Rosa, G. J. M., Lourenco, D., Rowan, T., Brito, L., Gondro, C., Huang, J., and Valle de Souza, S. “Integrating Enviromics, Genomics, and Machine Learning for Precision Breeding of Resilient Beef Cattle”, USDA-IDEAS, 05/2023-04/2027, $1,000,000.
  5. Penagaricano, F., H. C. Mantovani, H.M. White, K.A. Weigel, J.E.P. Santos, K.C. Jeong, J.E. Koltes, J.A.D.R.N. Appuhamy, M.J. Vandehaar, R.J. Tempelman, R.L. Baldwin and P. VanRaden. Integrating genomic ,nutritional, and microbial strategies to mitigate enteric methane emissions from dairy cattle. Foundation for Food and Agricultural Research and Council for Dairy Cattle Breeding. 01/01/2023-12/31/2025 $3,200,000
  6. Brouder, S, Barford, C, Berg, W, Bossaer, G, Brandt, DS, Craig, BA, Fiock, T, Murrell, TS, Ruark, M, Scott, J, Thompson, NM, Volenec, J, and Zhu, J. FACT: AN Innovative Cyber-Framework Integrating Public/Private Data for Evidence-Based Recommendations. USDA - National Inst of Food & Agriculture. 08/01/2019 - 07/31/2024. $1,000,000
  7. Clark Kogan, role: Principal Investigator (PI). USDA APHIS Cooperative Agreement. "Statistical Methods for Risk-based Surveillance Strategies." $132,000. Timeline: 2023-2024.
  8. Edzard van Santen. Role Collaborator: Fostering Resilience and Ecosystem Services in Landscapes by Integrating Diverse Perennial Circular Systems (RESILIENCE CAP). Valentin Picasso (PI).
  9. De Guzman, C., Srivastava, V.; Fernandes, S. B. USDA-NIFA-AFRI, Breeding for Rice Yield and Grain Quality Under High Night Temperature Conditions Using Conventional Breeding, Genomics and Gene Editing Approach. $585,650, 04/01/24 – 03/31/28. Role: co-Principal Investigator

 

Also listed below are professional awards conferred to members of the NCCC170 during the reporting period.

  1. Bruce A Craig, 2023 National Agricultural Statistics Service (NASS) Cooperator of the Year Award.

 

5) Milestones: Implementation and dissemination efforts. Benchmarking.

  1. Philip Dixon, Jarad Niemi, Bruce Craig, Julia Piaskowski, Kathleen Yeater and Guilherme Rosa. Planning committee and local hosts (Dixon and Niemi) for the 2024 Conference on Applied Statistics in Agriculture and Natural Resources, held in Ames, Iowa on May 13-16, 2024. https://www.regcytes.extension.iastate.edu/appliedstatistics/
  2. Samuel Fernandes. The Crop Science Podcast Show: Statistical Models in Plant Breeding: https://www.youtube.com/watch?v=_TpjUryYQPs&list=PLTrrKh380P6DbRJ3quwBYWM4uOEzfRbNi&index=3 June 25, 2024.
  3. Piaskowski, blog post: Mind the Gap: Mixed Models in R. https://jpiaskowski.gitlab.io/posts/r-state-of-mlm/
  4. Piaskowski & W. Price, instructional blog posts: Introduction to Data Cleaning with the Tidyverse; Introduction to Creating Awesome Plots with ggplot; Interpreting P-values; Design and Anatomy of a Study; Common Errors and Solutions in SAS; Graphical User Interfaces for R; Resources for Learning R; Finding Help in R; How to Write Custom Functions in R; R packages for Agricultural Research. https://agstats.io/post/
  5. Agriculture CRAN Task View launched and co-maintained by Julia Piaskowki: https://cran.r-project.org/web/views/Agriculture.html
  6. Mixed Model CRAN Task View launched and co-maintained by Julia Piaskowki: https://cran.r-project.org/web/views/MixedModels.html
  7. YouTube channel (https://www.youtube.com/jaradniemi) 6,107 subscribers, 1.2 million views. Jarad Niemi

Impacts

  1. • The accomplishments listed include multiple workshops and short courses, as well as presentations, publications and in general, a diverse dissemination media. These accomplishments collectively speak to the influence of the NCCC170 amongst the community of statisticians serving food and agriculture research programs, as well as to their relevance to collaborative domain-specific research teams at their home institutions and beyond.
  2. • The accomplishments further illustrate how members of the NCCC170, working both jointly and individually, enhanced research capacity and fostered the continuing professional education of the scientific community of a broad range of audiences, both domestic and international. This, in turn, demonstrates a broad reach of impact of NCCC170, ranging from local institutions to worldwide. Such broad impact is directly aligned with the global scope of agriculture and food production.
  3. • The accomplishments also demonstrate a variety of innovative methodological developments and modern software implementations that directly address problems unique to current challenges in food and agricultural research, and further advance agricultural statistics as a broad quantitative platform for evidence-based decision making.
  4. • The accomplishments and annual meeting minutes further illustrate substantial growth in NCCC170 membership by way of new junior members from academia, government and private industry recently joining the effort on agricultural statistics.
  5. • Selected publications and grant awards focused on the role and know-how of research collaborations. Panel discussions articulated and evaluated emerging challenges to agricultural statistics. Taken together, these initiatives support the mentoring of upcoming agricultural statisticians and provide a foundation to educate other statisticians and administrators involved in the faculty evaluation process.

Publications

A total of 86 scientific publications were authored or co-authors by NCCC170 members during the reporting period. Publication venues spanned a wide range of scientific domains and included Scientific Reports, PLoS One and PLoS Computational Biology, The Plant Genome, Genetics, G3 Genes Genomes Genetics,  Frontiers in Genetics, Journal of Animal Breeding and Genetics, Theoretical and Applied Genetics, BMC Bioinformatics, Genome Biology, Databases, Research Synthesis Methods, Spatial Statistics, Statistical Analysis and Data Mining, Frontiers in Sustainable Food Systems, Journal of Agriculture and Food Research, International Journal of Food Science, Journal of Stored Products Research, Cereal Chemistry, Agronomy Journal, HortTechnology, Frontiers in Horticulture, Phytopathology, Pest Management Science, Agricultural Water Management, Nematology, Journal of Plant Interactions, Crop Science, International Journal of Vegetable Science, Frontiers in Agronomy, Biocontrol Science and Technology, Journal of experimental botany, Journal of Experimental Botany, Phytopathology, HortScience, Field Crops Research, Computers and Electronics in Agriculture, Journal of Animal Science, Journal of Dairy Science, Translational Animal Science, Journal of Animal Science and Biotechnology, Poultry Science, Animal Feed Science and Technology, Preventive Veterinary Medicine, Research in Veterinary Science, Applied Animal Behaviour, Animals, Tropical Animal Health and Production, Journal of Mammary Gland Biology and Neoplasia, Cryobiology, Microorganisms, Ecosphere, Journal of Soil and Water Conservation, Journal of Environmental Quality, North American Journal of Fisheries Management, Forest Ecology and Management, amongst others.

A selected subset of publications is listed below for illustrative purposes. Member co/authors are highlighted in bold.

  1. Clarke, J., Cooper, L., Poelchau, M., Berardini, T, Elser, J., Farmer, A., Ficklin, S., Kumari, S., Laporte, M.-A., Nelson, R., Sadohara, R., Selby, S., Thessen, A., Whitehead, B., and Sen, T. Data sharing and ontology use among agricultural genetics, genomics, and breeding databases and resources of the AgBioData consortium. Databases, November 2023. https://doi.org/10.1093/database/baad076
  2. Wisnieski, L., M. W. Sanderson, D. G. Renter and M. Bello. 2023. Inferential implications of normalizing binomial proportions in a structural equation model: A simulation study motivated by feedlot data”. Preventive Veterinary Medicine 2023 Aug; 217:105963. doi: 10.1016/j.prevetmed.2023.105963.
  3. Martínez-Rodríguez, G. A., Vázquez-Cartagena, M. A., Perdomo-García, C. R., Macchiavelli, R. E., Sotomayor-Ramírez, D., & Rosa, J. R. 2024. Water quality trends of streams in Puerto Rico: Evaluating 50 years of the Clean Water Act. Journal of Environmental Quality, 53, 253–264.https://doi.org/10.1002/jeq2.20550
  4. Madden, L.V., and Ojiambo, P.S. 2024. The value of generalized linear mixed models (GLMMs) for data analysis in the plant sciences. Frontiers in Horticulture 3: 1423462. doi:10.3389/fhort.2024.1423462
  5. Koebernick, J., A. Gillen, R. Fett, S. Patel, B. Fallen, V. Pantalone, G. Shannon, Z. Li, A. Scaboo, W. Schapaugh, R. Mian, and Q. D. Read. 2024. Soybean test weight in relation to genotype, environment, and genotype × environment interaction in the southern USA. Agronomy Journal. DOI: 10.1002/agj2.21551 
  6. Mathews, J., Y. Sun, P. Harris, Dai, S. Price, D. McAvoy, M. Farrell, & K. Kopp (2024). Sap Yield and Sugar Content of Boxelder and Norway Maple Trees in Northern Utah. HortTechnology, 34(1), 52-59. https://doi.org/10.21273/HORTTECH05304-23.
  7. Mota, L. F. M., Arikawa, L. M., Santos, S. W. B., Junior, G. A. F., Alves, A. A. C., Rosa, G. J. M., Mercadante, M. E. Z., Cyrillo, J. N. S. G., Carvalheiro, R. and Albuquerque, L. G. Benchmarking machine learning and parametric methods for genomic prediction of feed efficiency‑related traits in Nellore cattle. Scientific Reports 14: 6404, 2024.
  8. Annear, A.R., Simonson, M.A., Dixon, P.M. and Weber, M.J. 2023. Intra-annual variability of common carp and bigmouth buffalo electrofishing data in shallow lakes.  North American Journal of Fisheries Management 43(2):556-568.
  9. Buczkowski, G, Wang, SH and Craig, BA (2023) Behavioral assays reveal mechanisms of supercolony formation in odorous house ants, Scientific Reports, 13(1): Article #9013
  10. Brabec, D., S. Grothe, M. Perez-Fajardo, L. Pordesimo, and Yeater. 2024. Potential of a flatbed scanner for evaluation of flour samples for dark specks and flour color. Cereal Chemistry, 101(3), pp.508-517. https://doi.org/10.1002/cche.10758
  11. Deer, C, Dunn BL, Hu B, Goad C, Shoup DE (2023), Grafted and Nongrafted ‘Cherokee Purple’ Tomato Performance in Aquaponic and Hydroponic Greenhouse Production in Oklahoma, 1 Nov 2023, HortScience 58(11): 1332-1340. https://doi.org/10.21273/HORTSCI17248-23
  12. Kogan, C., DeVetter, L. W., & Hoheisel, G.-A. (2023). Modeling Northern Highbush Blueberry Cold Hardiness for the Pacific Northwest. HortScience, 58(11), 1314-1320. https://doi.org/10.21273/HORTSCI17320-23
  13. Vechia Jaqueline F. Della, Andrade Daniel J., Tassi Aline D., Roda Amy, van Santen Edzard, Carrillo Daniel. 2023. Can predatory mites aid in the management of the citrus leprosis mite? Frontiers in Agronomy 5. DOI=10.3389/fagro.2023.1304656
  14. Jiayi Qu, Daniel Runcie, Hao Cheng (2023). Mega-scale Bayesian regression methods for genome-wide prediction and association studies with thousands of traits, Genetics, Volume 223, Issue 3, March 2023, iyac183, https://doi.org/10.1093/genetics/iyac183
  15. Rafael Della Coletta, Sharon E Liese, Samuel B Fernandes, Mark A Mikel, Martin O Bohn, Alexander E Lipka, Candice N Hirsch. Linking genetic and environmental factors through marker effect networks to understand trait plasticity. Genetics, Volume 224, Issue 4, August 2023, iyad103, https://doi.org/10.1093/genetics/iyad103
  16. Nicolás Cafaro La Menza, Timothy J Arkebauer, John L Lindquist, Juan Pablo Monzon, Johannes MH Knops, George Graef, David Scoby, Réka Howard, Jennifer Rees, James E Specht, Patricio Grassini (2023). Decoupling between leaf nitrogen and radiation use efficiency in vegetative and early reproductive stages in high-yielding soybean. Journal of experimental botany. 74(1): 352-363
  17. Tepedino VJ, Griswold TL, and Durham SL (2023) Reproductive biology and flower visitors of two rare species of Sclerocactus (Cactaceae) in the southwestern United States. Western North American Naturalist 83(4): 445-453. DOI: 10.3398/064.083.0402
  18. Velma K. Lopez,Estee Y. Cramer,Robert Pagano,John M. Drake,Eamon B. O’Dea,Madeline Adee,Turgay Ayer,Jagpreet Chhatwal,Ozden O. Dalgic,Mary A. Ladd,Benjamin P. Linas,Peter P. Mueller,Jade Xiao,Johannes Bracher,Alvaro J. Castro Rivadeneira,Aaron Gerding,Tilmann Gneiting,Yuxin Huang,Dasuni Jayawardena,Abdul H. Kanji,Khoa Le,Anja Mühlemann,Jarad Niemi,Evan L. Ray,Ariane Stark,Yijin Wang,Nutcha Wattanachit,Martha W. Zorn,Sen Pei,Jeffrey Shaman,Teresa K. Yamana,Samuel R. Tarasewicz,Daniel J. Wilson,Sid Baccam,Heidi Gurung,Steve Stage,Brad Suchoski,Lei Gao,Zhiling Gu,Myungjin Kim,Xinyi Li,Guannan Wang,Lily Wang,Yueying Wang,Shan Yu,Lauren Gardner,Sonia Jindal,Maximilian Marshall,Kristen Nixon,Juan Dent,Alison L. Hill,Joshua Kaminsky,Elizabeth C. Lee,Joseph C. Lemaitre,Justin Lessler,Claire P. Smith,Shaun Truelove,Matt Kinsey,Luke C. Mullany,Kaitlin Rainwater-Lovett,Lauren Shin,Katharine Tallaksen,Shelby Wilson,Dean Karlen,Lauren Castro,Geoffrey Fairchild,Isaac Michaud,Dave Osthus,Jiang Bian,Wei Cao,Zhifeng Gao,Juan Lavista Ferres,Chaozhuo Li,Tie-Yan Liu,Xing Xie,Shun Zhang,Shun Zheng,Matteo Chinazzi,Jessica T. Davis,Kunpeng Mu,Ana Pastore y Piontti,Alessandro Vespignani,Xinyue Xiong,Robert Walraven,Jinghui Chen,Quanquan Gu,Lingxiao Wang,Pan Xu,Weitong Zhang,Difan Zou,Graham Casey Gibson,Daniel Sheldon,Ajitesh Srivastava,Aniruddha Adiga,Benjamin Hurt,Gursharn Kaur,Bryan Lewis,Madhav Marathe,Akhil Sai Peddireddy,Przemyslaw Porebski,Srinivasan Venkatramanan,Lijing Wang,Pragati V. Prasad,Jo W. Walker,Alexander E. Webber,Rachel B. Slayton,Matthew Biggerstaff,Nicholas G. Reich,Michael A. Johansson. (2024) Challenges of COVID-19 Case Forecasting in the US, 2020–2021. PLoS Computational Biology 20(5): e1011200. DOI: 10.1371/journal.pcbi.1011200

 

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